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市场调查报告书
商品编码
1306261

深度学习芯片组市场：按类型、最终用户划分 - 2023-2030 年全球预测

Deep Learning Chipset Market by Type, End-User - Cumulative Impact of COVID-19, Russia Ukraine Conflict, and High Inflation - Global Forecast 2023-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2个工作天内

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预计2023年全球深度学习芯片市场将大幅增长，达到102.3085亿美元，复合年增长率为15.67%，2030年将达到283.9236亿美元。

FPNV定位矩阵

FPNV定位矩阵对于评估全球深度学习芯片组市场至关重要。通过检查业务战略和产品满意度的关键指标，我们对供应商进行全面评估，使您能够根据您的具体需求做出明智的资讯。这种高级分析将供应商分为四个像限，并取得了不同程度的成功：前沿 (F)、探路者 (P)、利基 (N) 和重要 (V)。

市场份额分析

市场份额分析可以深入了解供应商在特定市场领域的当前地位。比较供应商对总收入、基本客群和其他关键指标的贡献，可以帮助公司更好地了解他们在争夺市场份额时的表现以及面临的情况。该分析还揭示了特定行业的竞争程度、积累和合併的优势以及研究基准年的合併特征。

本报告提供了以下几点见解：

1. 市场渗透率：提供有关主要企业所服务的市场的全面资讯。

2. 市场开发：提供有关利润丰厚的新兴市场的详细资讯，并分析其在成熟市场的渗透率。

3. 市场多元化：提供有关新产品发布、未开发地区、最新发展和投资的详细资讯。

4.市场趋势：全面了解COVID-19、俄罗斯-乌克兰衝突和高通胀的累积影响。

5、竞争评估与资讯：对主要企业的市场份额、战略、产品、认证、法规状况、专利状况、製造能力等进行综合评价。

6. 产品开发和创新：提供对未来技术、研发活动和突破性产品开发的见解。

本报告回答了以下问题：

1.全球深度学习芯片市场规模及预测是多少？

2.在预测期内，COVID-19 对全球深度学习芯片组市场的抑制要素和影响是什么？

3. 在预测期内，全球深度学习芯片组市场需要投资哪些产品/细分市场/应用/领域？

4、全球深度学习芯片市场的竞争策略是什么？

5. 全球深度学习芯片市场的技术趋势和法律规范是什么？

6、全球深度学习芯片组市场主要厂商的市场份额是多少？

7、您认为深度学习芯片适合以什么样的型态和战略倡议进入全球市场？

目录

第1章前言

第2章调查方法

第3章执行摘要

第4章市场概况

第5章市场洞察

  • 市场动态
    • 促进因素
      • 人们越来越接受云端基础的技术
      • 巨量资料分析的应用在各行业中不断增加
      • 量子计算的兴起和深度学习芯片在机器人领域的增强实施
    • 抑制因素
      • 缺乏熟练的专业知识和训练有素的专业人员
    • 机会
      • 持续需要开发识别人类的人工智能係统
      • 自主机器人新进展
    • 任务
      • 投资回报率降低且可用结构资料有限
  • 市场趋势
  • COVID-19 的累积影响
  • 俄罗斯-乌克兰衝突的累积影响
  • 高通胀的累积效应
  • 波特五力分析
  • 价值炼和关键路径分析
  • 法律规范
  • 客户定制

第6章深度学习芯片组市场：按类型

  • 用途积体电路
  • 中央处理器
  • 现场可编程门阵列
  • 图形处理单元

第7章深度学习芯片组市场：按最终用户划分

  • 航太和国防
  • 车
  • 家用电器
  • 卫生保健
  • 工业的

第8章美洲深度学习芯片组市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第9章亚太深度学习芯片组市场

  • 澳大利亚
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第10章欧洲、中东和非洲深度学习芯片组市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第11章竞争形势

  • FPNV定位矩阵
  • 市场份额分析：主要企业
  • 竞争情景分析：主要企业

第12章上市公司名单

第13章附录

  • 讨论指南
  • 关于许可和定价
Product Code: MRR-4348D129F9D2

The Global Deep Learning Chipset Market is forecasted to grow significantly, with a projected USD 10,230.85 million in 2023 at a CAGR of 15.67% and expected to reach a staggering USD 28,392.36 million by 2030.

The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global Deep Learning Chipset Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.

Market Segmentation & Coverage:

This research report categorizes the Global Deep Learning Chipset Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on Type, market is studied across Application Specific Integrated Circuits, Central Processing Units, Field Programmable Gate Arrays, and Graphics Processing Units. The Graphics Processing Units is projected to witness significant market share during forecast period.

Based on End-User, market is studied across Aerospace & Defense, Automotive, Consumer Electronics, Healthcare, and Industrial. The Consumer Electronics is projected to witness significant market share during forecast period.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.75% in 2022, followed by Europe, Middle East & Africa.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Global Deep Learning Chipset Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in a particular market space. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation

5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

6. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Deep Learning Chipset Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Deep Learning Chipset Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Deep Learning Chipset Market?

4. What is the competitive strategic window for opportunities in the Global Deep Learning Chipset Market?

5. What are the technology trends and regulatory frameworks in the Global Deep Learning Chipset Market?

6. What is the market share of the leading vendors in the Global Deep Learning Chipset Market?

7. What modes and strategic moves are considered suitable for entering the Global Deep Learning Chipset Market?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Limitations
  • 1.7. Assumptions
  • 1.8. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

  • 4.1. Introduction
  • 4.2. Deep Learning Chipset Market, by Type, 2022 vs 2030
  • 4.3. Deep Learning Chipset Market, by End-User, 2022 vs 2030
  • 4.4. Deep Learning Chipset Market, by Region, 2022 vs 2030

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing acceptance of cloud-based technology
      • 5.1.1.2. Increasing application of big data analytics across industries
      • 5.1.1.3. Rising quantum computing and enhanced implementation of deep learning chips in robotics
    • 5.1.2. Restraints
      • 5.1.2.1. Lack of skilled expertise and trained professional
    • 5.1.3. Opportunities
      • 5.1.3.1. Ongoing need to develop human-aware AI systems
      • 5.1.3.2. Emerging development of autonomous robots
    • 5.1.4. Challenges
      • 5.1.4.1. Reduced return on investment and limited structural data available
  • 5.2. Market Trends
  • 5.3. Cumulative Impact of COVID-19
  • 5.4. Cumulative Impact of Russia-Ukraine Conflict
  • 5.5. Cumulative Impact of High Inflation
  • 5.6. Porter's Five Forces Analysis
    • 5.6.1. Threat of New Entrants
    • 5.6.2. Threat of Substitutes
    • 5.6.3. Bargaining Power of Customers
    • 5.6.4. Bargaining Power of Suppliers
    • 5.6.5. Industry Rivalry
  • 5.7. Value Chain & Critical Path Analysis
  • 5.8. Regulatory Framework
  • 5.9. Client Customization

6. Deep Learning Chipset Market, by Type

  • 6.1. Introduction
  • 6.2. Application Specific Integrated Circuits
  • 6.3. Central Processing Units
  • 6.4. Field Programmable Gate Arrays
  • 6.5. Graphics Processing Units

7. Deep Learning Chipset Market, by End-User

  • 7.1. Introduction
  • 7.2. Aerospace & Defense
  • 7.3. Automotive
  • 7.4. Consumer Electronics
  • 7.5. Healthcare
  • 7.6. Industrial

8. Americas Deep Learning Chipset Market

  • 8.1. Introduction
  • 8.2. Argentina
  • 8.3. Brazil
  • 8.4. Canada
  • 8.5. Mexico
  • 8.6. United States

9. Asia-Pacific Deep Learning Chipset Market

  • 9.1. Introduction
  • 9.2. Australia
  • 9.3. China
  • 9.4. India
  • 9.5. Indonesia
  • 9.6. Japan
  • 9.7. Malaysia
  • 9.8. Philippines
  • 9.9. Singapore
  • 9.10. South Korea
  • 9.11. Taiwan
  • 9.12. Thailand
  • 9.13. Vietnam

10. Europe, Middle East & Africa Deep Learning Chipset Market

  • 10.1. Introduction
  • 10.2. Denmark
  • 10.3. Egypt
  • 10.4. Finland
  • 10.5. France
  • 10.6. Germany
  • 10.7. Israel
  • 10.8. Italy
  • 10.9. Netherlands
  • 10.10. Nigeria
  • 10.11. Norway
  • 10.12. Poland
  • 10.13. Qatar
  • 10.14. Russia
  • 10.15. Saudi Arabia
  • 10.16. South Africa
  • 10.17. Spain
  • 10.18. Sweden
  • 10.19. Switzerland
  • 10.20. Turkey
  • 10.21. United Arab Emirates
  • 10.22. United Kingdom

11. Competitive Landscape

  • 11.1. FPNV Positioning Matrix
  • 11.2. Market Share Analysis, By Key Player
  • 11.3. Competitive Scenario Analysis, By Key Player

12. List of Company Mentioned

13. Appendix

  • 13.1. Discussion Guide
  • 13.2. License & Pricing

LIST OF FIGURES

  • FIGURE 1. DEEP LEARNING CHIPSET MARKET RESEARCH PROCESS
  • FIGURE 2. DEEP LEARNING CHIPSET MARKET SIZE, 2022 VS 2030
  • FIGURE 3. DEEP LEARNING CHIPSET MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2022 VS 2030 (%)
  • FIGURE 5. DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2022 VS 2030 (%)
  • FIGURE 6. DEEP LEARNING CHIPSET MARKET SIZE, BY REGION, 2022 VS 2030 (%)
  • FIGURE 7. DEEP LEARNING CHIPSET MARKET DYNAMICS
  • FIGURE 8. DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 9. DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 10. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 11. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 12. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 13. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 14. DEEP LEARNING CHIPSET MARKET, FPNV POSITIONING MATRIX, 2022
  • FIGURE 15. DEEP LEARNING CHIPSET MARKET SHARE, BY KEY PLAYER, 2022

LIST OF TABLES

  • TABLE 1. DEEP LEARNING CHIPSET MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2022
  • TABLE 3. DEEP LEARNING CHIPSET MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 5. DEEP LEARNING CHIPSET MARKET SIZE, BY APPLICATION SPECIFIC INTEGRATED CIRCUITS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 6. DEEP LEARNING CHIPSET MARKET SIZE, BY CENTRAL PROCESSING UNITS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 7. DEEP LEARNING CHIPSET MARKET SIZE, BY FIELD PROGRAMMABLE GATE ARRAYS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 8. DEEP LEARNING CHIPSET MARKET SIZE, BY GRAPHICS PROCESSING UNITS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 10. DEEP LEARNING CHIPSET MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. DEEP LEARNING CHIPSET MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. DEEP LEARNING CHIPSET MARKET SIZE, BY CONSUMER ELECTRONICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. DEEP LEARNING CHIPSET MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. DEEP LEARNING CHIPSET MARKET SIZE, BY INDUSTRIAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 16. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 17. AMERICAS DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 18. ARGENTINA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 19. ARGENTINA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 20. BRAZIL DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 21. BRAZIL DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 22. CANADA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 23. CANADA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 24. MEXICO DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 25. MEXICO DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 26. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 27. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 28. UNITED STATES DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 29. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 30. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 31. ASIA-PACIFIC DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 32. AUSTRALIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. AUSTRALIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 34. CHINA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 35. CHINA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 36. INDIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. INDIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 38. INDONESIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 39. INDONESIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 40. JAPAN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. JAPAN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. MALAYSIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 43. MALAYSIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 44. PHILIPPINES DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. PHILIPPINES DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 46. SINGAPORE DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 47. SINGAPORE DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 48. SOUTH KOREA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. SOUTH KOREA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 50. TAIWAN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 51. TAIWAN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 52. THAILAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. THAILAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 54. VIETNAM DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. VIETNAM DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 56. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 57. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. EUROPE, MIDDLE EAST & AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 59. DENMARK DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 60. DENMARK DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 61. EGYPT DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. EGYPT DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 63. FINLAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. FINLAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 65. FRANCE DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 66. FRANCE DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 67. GERMANY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 68. GERMANY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 69. ISRAEL DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. ISRAEL DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 71. ITALY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. ITALY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 73. NETHERLANDS DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. NETHERLANDS DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 75. NIGERIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. NIGERIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 77. NORWAY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 78. NORWAY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 79. POLAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. POLAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 81. QATAR DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. QATAR DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 83. RUSSIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 84. RUSSIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 85. SAUDI ARABIA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 86. SAUDI ARABIA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 87. SOUTH AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 88. SOUTH AFRICA DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 89. SPAIN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. SPAIN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 91. SWEDEN DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. SWEDEN DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 93. SWITZERLAND DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. SWITZERLAND DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 95. TURKEY DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 96. TURKEY DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 97. UNITED ARAB EMIRATES DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. UNITED ARAB EMIRATES DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 99. UNITED KINGDOM DEEP LEARNING CHIPSET MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. UNITED KINGDOM DEEP LEARNING CHIPSET MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 101. DEEP LEARNING CHIPSET MARKET, FPNV POSITIONING MATRIX, 2022
  • TABLE 102. DEEP LEARNING CHIPSET MARKET SHARE, BY KEY PLAYER, 2022
  • TABLE 103. DEEP LEARNING CHIPSET MARKET LICENSE & PRICING